In this part, we aim at designing an efficient unsupervised pre-training model for time series.
While the pre-training model has made significant progress in natural language processing [1]}, [2]}, [3]}, progress in time series lags behind them.
First, we would like to discuss the difference between time series and natural language, which will motivate the design of TSFormer.
We attempt to distinguish them from the following two perspectives:
